TITLE: Know The Past AUTHOR: Eugene Wallingford DATE: January 07, 2014 4:09 PM DESC: ----- BODY: In this profile of computational geneticist Jason Moore, the scientist speaks explains how his work draws on work from the 1910s, which may offer computational genetics a better path forward than the work that catapulted genetics forward in the 1990s and 2000s.
Yet despite his use of new media and advanced technology, Moore spends a lot of time thinking about the past. "We have a lot to learn from early geneticists," he says. "They were smart people who were really thinking deeply about the problem." Today, he argues, genetics students spend too much time learning to use the newest equipment and too little time reading the old genetics literature. Not surprisingly, given his ambivalent attitude toward technology, Moore believes in the importance of history. "Historical context is so important for what we do," he says. "It provides a grounding, a foundation. You have to understand the history in order ... to understand your place in the science."
Anyone familiar with the history of computing knows there is another good reason to know your history: Sometimes, we dream too small these days, and settle for too little. We have a lot to learn from early computer scientists. I intend to make this a point of emphasis in my algorithms course this spring. I'd like to expose students to important new ideas outside the traditional canon (more on that soon), while at the same time exposing them to some of the classic work that hasn't been topped. -----